| アブストラクト | AIMS: Several studies have reported a high predictive ability of the Sequential Organ Failure Assessment (SOFA) score for in-hospital mortality specifically for patients with cardiac critical illnesses, however, differences according to the admission classification (surgical or non-surgical) are unknown. The present study aimed to evaluate the predictive ability of the SOFA score in surgical and non-surgical patients with cardiac critical illnesses. METHODS AND RESULTS: Using the Japanese nationwide Diagnosis Procedure Combination database, we identified patients with cardiac critical illnesses, defined as patients admitted to the intensive care unit (ICU) and treated by cardiologists or cardiovascular surgeons as their physicians in charge from April 2018 to March 2020. The discriminatory ability of the SOFA score for in-hospital mortality was assessed by calculating the area under the receiver operating characteristic curve (AUROC). Among 52 819 eligible patients with available data on their SOFA scores, 33 526 (64%) were postoperative cardiac surgeries. The median SOFA score on ICU admission was 5.0 (interquartile range, 2.0-8.0) and overall in-hospital mortality 6.8%. The AUROC of the SOFA score was 0.75 [95% confidence interval (CI), 0.75-0.76]. In the subgroup analyses, the AUROCs were 0.76 (95% CI, 0.74-0.77) in the surgical patients, 0.83 (95% CI, 0.83-0.84) in the non-surgical patients, and 0.88 (95% CI, 0.87-0.89) in the non-surgical acute coronary syndrome patients. CONCLUSIONS: The predictive ability of the SOFA score on the day of ICU admission for in-hospital mortality was confirmed to be acceptable in the patients with cardiac critical illnesses and varied according to the admission classification and primary diagnoses. |
|---|
| 投稿者 | Nishimoto, Yuji; Ohbe, Hiroyuki; Matsui, Hiroki; Nakajima, Mikio; Sasabuchi, Yusuke; Goto, Tadahiro; Morita, Kojiro; Fushimi, Kiyohide; Sato, Yukihito; Yasunaga, Hideo |
|---|
| 組織名 | Department of Cardiology, Hyogo Prefectural Amagasaki General Medical Center,;2-17-77 Higashinaniwa-cho, Amagasaki 6608550, Japan.;Department of Clinical Epidemiology and Health Economics, School of Public;Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1130033, Japan.;Emergency Life-Saving Technique Academy of Tokyo, Foundation for Ambulance;Service Development, 4-6 Minamiosawa, Hachioji-shi, Tokyo 1920364, Japan.;Data Science Center, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke,;Tochigi 3290498, Japan.;TXP Medical Co. Ltd., 7-3-1-252 Hongo, Bunkyo-ku, Tokyo 1138454, Japan.;Global Nursing Research Center, Graduate School of Medicine, The University of;Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1130033, Japan.;Department of Health Policy and Informatics, Tokyo Medical and Dental University;Graduate School of Medicine, 1-5-45 Yushima, Bunkyo-ku, Tokyo 1138510, Japan. |
|---|
